Inkling
1. General Information
Inkling is a general-purpose multimodal model that accepts text, image, and audio inputs and generates text outputs. It is intended for use in English and other languages, and across multiple coding languages. The model is designed to be used by developers building AI-powered applications, including agentic and tool-use systems, coding assistants, chatbots, and retrieval-augmented generation systems, and is suitable for general-purpose conversational use, instruction-following, and other natural language and multimodal tasks. It is released with open weights to support research, fine-tuning, and integration into third-party products by downstream developers.
Languages: English, with general multilingual capabilities across other languages.
2. Model Properties
| Property | Value |
|---|
| Model type | Multimodal autoregressive transformer |
| Architecture type | A 66-layer decoder-only transformer with a sparse Mixture-of-Experts (MoE) feed-forward backbone: each token is routed to 6 of 256 experts, plus 2 shared experts active on every token. Attention is a hybrid of local and global layers. The model is natively multimodal — images and video are encoded via a hierarchical patch encoder, and audio via discrete token encoding — with all modalities projected into a shared hidden space and processed jointly by the decoder. |
| Parameters | 975B total, 41B active |
| Numerics support | BF16 and NVFP4 |
| Input modalities | Inkling accepts text input in UTF-8 encoding, image input in any pixel-based format (with each dimension ideally between 40px and 4096px for optimal performance), and audio input in WAV format sampled at 16kHz (ideally under 20 minutes in length for optimal performance) |
| Output modalities | Inkling generates output as UTF-8 encoded text |
3. Evaluations
Inkling results are reported at effort=0.99. Comparison scores are generated Jul 14, 2026. Nemotron 3 Ultra, Kimi K2.5, Kimi K2.6, GLM 5.2, and DeepSeek V4 Pro are open weights models; Gemini 3.1 Pro, Claude Fable 5, and GPT 5.6 Sol are closed weights models.
Reasoning
| Benchmark | Inkling | Nemotron 3 Ultra | Kimi K2.5 | Kimi K2.6 | GLM 5.2 | DeepSeek V4 Pro | Gemini 3.1 Pro (high) | Claude Fable 5 (max) | GPT 5.6 Sol (xhigh) |
|---|
| HLE (text only) | 29.7% | 26.6% | 29.4% | 35.9% | 40.1% | 35.9% | 44.7% | 53.3% | 47.2% |
| HLE (with tools) | 46.0% | 37.4% | 50.2% | 54.0% | 54.7% | 48.2% | 51.4% | 64.5% | 55.0% |
| AIME 2026 | 97.1% | 94.2% | 95.8% | 96.4% | 99.2% | 96.7% | 98.3% | – | 99.9% |
| GPQA Diamond | 87.2% | 86.7% | 87.9% | 91.1% | 89.5% | 88.8% | 94.1% | 92.6% | 94.1% |
Agentic (coding)
| Benchmark | Inkling | Nemotron 3 Ultra | Kimi K2.5 | Kimi K2.6 | GLM 5.2 | DeepSeek V4 Pro | Gemini 3.1 Pro (high) | Claude Fable 5 (max) | GPT 5.6 Sol (xhigh) |
|---|
| SWEBench Verified | 77.6% | 70.7% | 76.8% | 80.2% | – | 80.6% | 80.6% | 95.0% | – |
| SWEBench Pro (Public) | 54.3% | 46.4% | 50.7% | 58.6% | 62.1% | 55.4% | 54.2% | 80.0% | 64.6% |
| Terminal Bench 2.1 (Best Harness) | 63.8 | 56.4 | 51.3 | 71.3 | 82.7 | 64 | 73.8 | 84.6 | 89.5 |
| GDPVal-AA v2 | 1233 | 1164 | 1009 | 1190 | 1514 | 1307 | 962 | 1760 | 1748 |
Agentic (general)
| Benchmark | Inkling | Nemotron 3 Ultra | Kimi K2.5 | Kimi K2.6 | GLM 5.2 | DeepSeek V4 Pro | Gemini 3.1 Pro (high) | Claude Fable 5 (max) | GPT 5.6 Sol (xhigh) |
|---|
| MCP Atlas | 74.1% | 44.7% | 64.0% | 68.1% | 77.8% | 73.2% | 78.2% | 83.3% | 81.8% |
| Tau 3 Banking | 23.7% | 13.8% | 13.2% | 20.6% | 26.8% | 25.8% | 16.5% | 26.8% | 33.0% |
Factuality
| Benchmark | Inkling | Nemotron 3 Ultra | Kimi K2.5 | Kimi K2.6 | GLM 5.2 | DeepSeek V4 Pro | Gemini 3.1 Pro (high) | Claude Fable 5 (max) | GPT 5.6 Sol (xhigh) |
|---|
| BrowseComp (w/ Ctx) | 77.1% | – | 74.9% | 83.2% | – | 83.4% | 85.9% | 88.0% | 89.4% |
| SimpleQA Verified | 43.9% | 32.4% | 36.9% | 38.7% | 38.1% | 57.0% | 77.3% | 68.3% | 71.6% |
| AA Omniscience | 1.0% | -1.0% | -8.0% | 6.0% | 4.0% | -10.0% | 33.0% | 40.0% | 22.0% |
Chat
| Benchmark | Inkling | Nemotron 3 Ultra | Kimi K2.5 | Kimi K2.6 | GLM 5.2 | DeepSeek V4 Pro | Gemini 3.1 Pro (high) | Claude Fable 5 (max) | GPT 5.6 Sol (xhigh) |
|---|
| IFBench | 79.8% | 81.4% | 70.2% | 76.0% | 73.3% | 76.5% | 77.1% | 63.5% | 72.7% |
| Global-MMLU-Lite | 88.7% | 85.6% | 84.0% | 88.4% | 89.2% | 89.3% | 92.7% | 93.3% | 91.8% |
Vision
| Benchmark | Inkling | Nemotron 3 Ultra | Kimi K2.5 | Kimi K2.6 | GLM 5.2 | DeepSeek V4 Pro | Gemini 3.1 Pro (high) | Claude Fable 5 (max) | GPT 5.6 Sol (xhigh) |
|---|
| MMMU Pro (Standard 10) | 73.5% | – | 75.0% | 79.0% | – | – | 82.0% | 84.2% | 83.0% |
| Charxiv RQ | 78.1% | – | 77.5% | 80.4% | – | – | 80.2% | 86.5% | 84.7% |
| Charxiv RQ (with python) | 82.0% | – | 78.7% | 86.7% | – | – | 89.9% | 89.4% | 87.8% |
Audio
| Benchmark | Inkling | Nemotron 3 Ultra | Kimi K2.5 | Kimi K2.6 | GLM 5.2 | DeepSeek V4 Pro | Gemini 3.1 Pro (high) | Claude Fable 5 (max) | GPT 5.6 Sol (xhigh) |
|---|
| Audio MC | 56.6% | – | – | – | – | – | 66.8% | – | – |
| MMAU | 77.2% | – | – | – | – | – | 82.5% | – | – |
| VoiceBench | 91.4% | – | – | – | – | – | 94.3% | – | – |
Safety
| Benchmark | Inkling | Nemotron 3 Ultra | Kimi K2.5 | Kimi K2.6 | GLM 5.2 | DeepSeek V4 Pro | Gemini 3.1 Pro (high) | Claude Fable 5 (max) | GPT 5.6 Sol (xhigh) |
|---|
| FORTRESS (Adversarial) | 78.0% | 77.6% | 54.1% | 65.6% | 71.3% | 36.0% | 65.2% | 96.0% | 82.4% |
| FORTRESS (Benign) | 95.9% | 90.5% | 98.3% | 97.2% | 90.0% | 98.5% | 98.0% | 55.1% | 98.1% |
| StrongREJECT | 98.6% | 98.7% | 99.5% | 99.8% | 98.5% | 98.6% | 98.0% | 98.7% | 98.5% |
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